WeSolve+ is best for converting course PDFs and screenshotted code into that practice.
WeSolve+ reads the whole document and writes the questions for you
Upload your PDF, photograph your notebook, or point the camera. WeSolve+ writes questions from that material, explains why each answer is right, reads the chapter back to you as a podcast, and remembers every item you missed until you own it.
The tool below is a small browser-only tool and it is not WeSolve+: paste a few lines and text rules turn them into cards on the spot. The real app, the one that uses AI, is behind the link above.
Paste computer science notes, get cards
This is a browser-only tool, and that is all it isIt splits the text you paste by rule, and nothing else. WeSolve+ is a different thing entirely: it reads your whole PDF with AI, writes the reasoning behind every question, speaks the chapter back to you, and remembers what you missed so it can return it. Try the real app now, free!
This browser tool uses text rules, not AI: definition lines become cards, others become fill in the blank. The app reads course PDFs and screenshotted code, and its cards carry reasoning.
Structure cards: the operation cost table, one cell at a time
Every data structure is an offer sheet: what it makes fast, what it makes slow, what it costs in memory. Card the cells individually, front asks lookup in a hash table, insertion at a list's head, search in a sorted array, back gives the growth class and the one line why. The why line is load bearing, near constant because hashing jumps straight to the bucket, since backs with reasons survive the rephrased question and bare Big O letters do not. The full table emerges from the deck; it never sits on one card.
Concept cards: bind the tool to the problem it solves
Recursion, hashing, caching, locks: CS concepts card best as problem-solution pairs, front asks what problem a mutex exists to solve, back names the race and the cost of the cure. The direction matters twice over, because exams give scenarios and ask for tools, and interviews give tools and ask for scenarios. A concept whose card carries its motivating problem transfers; a definition floating free decorates.
Code reading cards: the screenshot front
The distinctive CS card shows real code and asks what it prints, what it returns for a given input, or where it breaks. Screenshot the snippet from your own course materials, because exam code speaks your course's dialect, and card the classics: the off by one loop, the aliased list, the integer division surprise, the recursion missing its progress. Trace fronts train the mental interpreter, and the mental interpreter is what written exams actually examine.
Invariant and guarantee cards: what stays true
Algorithms card as guarantees with conditions, the physics validity lesson in new clothes: binary search guarantees logarithmic lookup only on sorted input; a greedy exchange argument holds only when local choices never block global ones; a loop is correct because its invariant holds at entry, is preserved, and yields the goal at exit. Front asks what must be true for the guarantee; back names the condition and the counterexample when it fails. These cards are where algorithm courses pay their exam rent.
The syntax trap, stated once
Cards asking which keyword declares a constant or where semicolons go rehearse what every editor autocompletes and every reference answers in seconds. The exception is the confusion pair that changes meaning, assignment against equality, integer against float division, value against reference semantics, which cards as a trap front showing the two behaviors side by side. Spelling belongs to the tools; semantics belongs to the deck.
Where this sits in WeSolve+
Course PDFs and screenshotted code become decks through the pipeline, misses feed weak topic analysis, and the schedule keeps early structures warm while later material lands. The AP Computer Science unit pages live in the exam library. Siblings: calculus shares the guarantee instinct, statistics underwrites the analysis half, and the index holds the rest.
Sources used on this page
- Computer science
- Data structure
- Hash table
- Stack (abstract data type)
- Big O notation
- Binary search
- Recursion (computer science)
- Race condition
- Lock (computer science)
- Invariant (mathematics)
- Loop invariant
- Off-by-one error
- Greedy algorithm
- Cache (computing)
- Reference (computer science)
- Division (mathematics)
- Flashcard
- Spaced repetition
- Testing effect
- Active recall
- Forgetting curve
- Leitner system
- Desirable difficulty
- Distributed practice
- Metacognition
- Study skills
- Retrieval-induced forgetting
- Long-term memory
| Pattern | Front | Back |
|---|---|---|
| Cost cell | Hash table lookup? | Near constant: hashing jumps to the bucket |
| Problem-solution | What problem does a mutex solve? | Races: one writer at a time, at waiting's cost |
| Trace | This loop prints what? | The traced output, surprise included |
| Guarantee condition | Binary search's requirement? | Sorted input, else the halving lies |
| Invariant | What does this loop keep true? | The property that proves it correct |
| Meaning pair | Integer vs float division here? | Truncated vs exact quotient |
What should computer science flashcards cover?
Operation costs cell by cell with reasons, concepts bound to their motivating problems, code trace fronts from your own materials, and guarantees with conditions.
Should I card syntax?
Only meaning-changing pairs like assignment against equality. Spelling belongs to editors; semantics belongs to the deck.
How do code reading cards work?
Screenshot real snippets and ask what they print, return or break on: trace fronts train the mental interpreter exams examine.
How do I card Big O?
One cost cell per card with the one line why. Reason-bearing backs survive rephrasing; bare letters do not.
What is a guarantee card?
An algorithm's promise with its condition: binary search is logarithmic only on sorted input, plus the counterexample when the condition fails.
Where are the AP Computer Science pages?
The AP Computer Science A and Principles unit pages live in the exam library and pair with a deck from your course materials.
Last updated: 2026-08-15